Evgenii Belykh

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it

Whom Evgenii Belykh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Christian Szegedy
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yann LeCun
5. Bolei Zhou
6. Ilya Sutskever
7. Karen Simonyan
8. David E. Rumelhart
9. Yoshua Bengio
10. Kaiming He

Papers from Evgenii Belykh's perspective

Ordered by how strongly the researchers Evgenii Belykh trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Going deeper with convolutions
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning (2018) — 38 citations
• Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images (2018) — 41 citations